Course Overview

Customer and Marketing Analytics is a comprehensive professional training program designed to equip marketing professionals, business analysts, customer experience managers, sales teams, digital marketers, market researchers, and organizational leaders with advanced skills in analyzing customer behavior, market trends, and marketing performance to drive business growth. As organizations increasingly adopt Customer Analytics, Marketing Analytics, Consumer Intelligence, Customer Experience Analytics, Digital Marketing Analytics, Predictive Marketing, Market Research Analytics, Customer Segmentation, Business Intelligence, and Data-Driven Marketing, there is a growing demand for professionals who can transform customer and market data into actionable insights. This course provides participants with practical expertise in leveraging analytics to optimize marketing strategies, improve customer engagement, and maximize return on investment (ROI).

The training explores the complete customer and marketing analytics lifecycle, including customer data collection, market research, customer segmentation, campaign analysis, performance measurement, predictive modeling, dashboard development, and reporting. Participants will learn how to analyze customer journeys, purchasing behavior, customer satisfaction, brand performance, digital marketing campaigns, social media engagement, and market trends using modern analytical tools and methodologies. The course combines theoretical foundations with practical applications using real-world customer and marketing datasets.

Participants will gain hands-on experience in customer profiling, marketing performance analysis, predictive customer analytics, customer lifetime value modeling, churn analysis, sentiment analysis, dashboard development, and marketing intelligence reporting. The course emphasizes customer-centric decision-making, personalization, market competitiveness, customer retention, and evidence-based marketing strategies. Through practical exercises and case studies, participants will develop confidence in designing and implementing analytics solutions that improve customer experiences and marketing effectiveness.

The training further addresses emerging trends in customer and marketing analytics, including artificial intelligence in marketing, machine learning for customer insights, omnichannel analytics, real-time customer intelligence, marketing automation, social listening, behavioral analytics, customer data platforms (CDPs), and predictive customer engagement systems. Participants will develop competencies required to build data-driven marketing and customer intelligence ecosystems that support sustainable business growth and competitive advantage.

Course Objectives

1. Understand the principles and applications of customer and marketing analytics.

2. Collect, manage, and analyze customer and market data effectively.

3. Apply customer segmentation and profiling techniques.

4. Measure and optimize marketing campaign performance.

5. Analyze customer journeys and customer experience metrics.

6. Utilize predictive analytics to forecast customer behavior.

7. Measure customer lifetime value and retention performance.

8. Develop dashboards and marketing intelligence reporting systems.

9. Support data-driven marketing and customer engagement strategies.

10. Apply emerging technologies and AI to customer and marketing analytics.

Organizational Benefits

1. Improved understanding of customer behavior and preferences.

2. Enhanced customer acquisition and retention strategies.

3. Increased effectiveness of marketing campaigns.

4. Better customer experience and satisfaction outcomes.

5. Improved return on marketing investments.

6. Enhanced customer segmentation and targeting capabilities.

7. Better forecasting of customer trends and market opportunities.

8. Increased sales performance and revenue growth.

9. Improved decision-making through marketing intelligence.

10. Strengthened competitive advantage and market positioning.

Target Participants

· Marketing managers and executives

· Digital marketing professionals

· Customer experience and customer success managers

· Sales and business development professionals

· Market research analysts

· Business intelligence and data analysts

· Brand and communications managers

· CRM and customer relationship managers

· Product managers and growth specialists

· Entrepreneurs and business owners

· Consultants and marketing advisors

· Anyone interested in customer intelligence and marketing analytics

Course Outline

Module 1: Introduction to Customer and Marketing Analytics

1. Fundamentals of customer analytics

2. Marketing analytics concepts and frameworks

3. Data-driven marketing strategies

4. Customer intelligence and business value

5. Marketing analytics lifecycle

6. Emerging trends in customer and marketing analytics

Case Study:
Developing a customer analytics strategy to improve customer acquisition and retention.

Module 2: Customer Data Collection and Management

1. Sources of customer and marketing data

2. Customer Relationship Management (CRM) systems

3. Customer Data Platforms (CDPs)

4. Data integration and management techniques

5. Data quality assurance and governance

6. Privacy and data protection considerations

Case Study:
Building a centralized customer data ecosystem to support personalized marketing initiatives.

Module 3: Customer Segmentation and Profiling

1. Customer segmentation methodologies

2. Demographic and behavioral segmentation

3. Psychographic and geographic profiling

4. Customer personas development

5. Cluster analysis techniques

6. Segment performance evaluation

Case Study:
Segmenting customers to improve targeting and campaign effectiveness.

Module 4: Customer Journey and Experience Analytics

1. Customer journey mapping techniques

2. Customer touchpoint analysis

3. Customer experience measurement

4. Satisfaction and loyalty metrics

5. Net Promoter Score (NPS) analytics

6. Customer feedback analysis

Case Study:
Analyzing customer journeys to identify opportunities for improving customer satisfaction.

Module 5: Marketing Campaign Analytics

1. Campaign planning and performance measurement

2. Marketing funnel analytics

3. Conversion rate optimization

4. Multi-channel campaign analysis

5. Attribution modeling techniques

6. Marketing ROI assessment

Case Study:
Evaluating digital marketing campaigns to improve conversion and customer acquisition rates.

Module 6: Digital Marketing and Social Media Analytics

1. Website and web analytics fundamentals

2. Search engine optimization (SEO) analytics

3. Social media performance measurement

4. Content marketing analytics

5. Paid advertising analytics

6. Audience engagement analysis

Case Study:
Analyzing social media and digital marketing performance to improve audience engagement.

Module 7: Customer Lifetime Value and Retention Analytics

1. Customer lifetime value (CLV) modeling

2. Customer retention measurement

3. Churn analysis and prediction

4. Loyalty program analytics

5. Repeat purchase behavior analysis

6. Retention strategy optimization

Case Study:
Using predictive analytics to reduce customer churn and improve retention.

Module 8: Market Research and Consumer Intelligence

1. Market research methodologies

2. Consumer behavior analysis

3. Competitive intelligence techniques

4. Brand perception measurement

5. Market trend analysis

6. Customer needs assessment

Case Study:
Conducting consumer intelligence research to support product development decisions.

Module 9: Predictive Analytics and AI for Marketing

1. Predictive marketing analytics concepts

2. Customer behavior forecasting

3. Recommendation systems and personalization

4. Machine learning applications in marketing

5. Predictive lead scoring techniques

6. AI-powered customer engagement

Case Study:
Applying predictive analytics to identify high-value customers and optimize marketing efforts.

Module 10: Marketing Dashboards and Business Intelligence

1. Marketing KPI development

2. Dashboard design and visualization

3. Executive marketing reporting

4. Real-time performance monitoring

5. Interactive business intelligence tools

6. Data storytelling for marketing decisions

Case Study:
Developing a marketing performance dashboard for executive and operational decision-making.

Module 11: Omnichannel Customer Analytics

1. Omnichannel customer engagement strategies

2. Cross-channel customer behavior analysis

3. Integrated customer data management

4. Customer experience optimization

5. Channel performance measurement

6. Unified customer intelligence systems

Case Study:
Analyzing omnichannel customer interactions to improve customer experience consistency.

Module 12: Strategic Customer Intelligence and Future Trends

1. Strategic customer analytics frameworks

2. Customer-centric business transformation

3. Emerging technologies in marketing analytics

4. Future trends in customer intelligence

5. Building a data-driven marketing culture

6. Strategic roadmap for customer analytics maturity

Case Study:
Designing an integrated customer and marketing analytics ecosystem that combines CRM systems, customer segmentation, journey analytics, digital marketing intelligence, social media monitoring, predictive customer behavior models, AI-powered personalization, customer lifetime value analysis, omnichannel engagement tracking, and executive dashboards to improve customer satisfaction, marketing effectiveness, revenue growth, customer retention, and long-term business success.

Essential Information

Our courses are customizable to suit the specific needs of participants.
Participants are required to have proficiency in the English language.
Our training sessions feature comprehensive guidance through presentations, practical exercises, web-based tutorials, and collaborative group activities. Our facilitators boast extensive expertise, each with over a decade of experience.
Upon fulfilling the training requirements, participants will receive a prestigious Global King Project Management certificate.
Training sessions are conducted at various Global King Project Management Centers, including locations in Nairobi, Mombasa, Kigali, Dubai, Lagos, and others.
Organizations sending more than two participants from the same entity are eligible for a generous 20% discount.
The duration of our courses is adaptable, and the curriculum can be adjusted to accommodate any number of days.
To ensure seamless preparation, payment is expected before the commencement of training, facilitated through the Global King Project Management account.
For inquiries, reach out to us via email at training@globalkingprojectmanagement.org or by phone at +254 114 830 889.
Additional amenities such as tablets and laptops are available upon request for an extra fee. The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a certificate of successful completion. Participants are responsible for arranging and covering their travel expenses, including airport transfers, visa applications, dinners, health insurance, and any other personal expenses.

Customer and Marketing Analytics Training Course